Connectionist modeling of linguistic quantifiers

Autor:	Kenny R. Coventry, Steve Newstead, Alison M. Bacon, Rohana K. Rajapakse, Angelo Cangelosi
Předmět:	Connectionism Computer science business.industry Quantifier (linguistics) Fish Artificial intelligence business Formal methods computer.software_genre computer Linguistics Natural language processing
Zdroj:	Scopus-Elsevier University of Manchester-PURE Lecture Notes in Computer Science ISBN: 9783540287551 ICANN (2)
Popis:	This paper presents a new connectionist model of the grounding of linguistic quantifiers in perception that takes into consideration the contextual factors affecting the use of vague quantifiers. A preliminary validation of the model is presented through the training and testing of the model with experimental data on the rating of quantifiers. The model is able to perform the "psychological" counting of objects (fish) in visual scenes and to select the quantifier that best describes the scene, as in psychological experiments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fabe2aae54301fba58012bb59758949 http://www.scopus.com/inward/record.url?eid=2-s2.0-33646254864&partnerID=MN8TOARS Zobrazit plný text záznamu